Back to search

Article

Personalized Risk‑Prediction Tool for Deceased Donor Kidney Offers: Stakeholder Perspectives from a Qualitative Study

2026-03-04

Abstract excerpt

<h4>Background: </h4> Rising kidney discard rates and uncertainty around accepting higher-risk donor kidneys highlight the need for decision-support tools that integrate donor and recipient factors and communicate risk in ways that are understandable and usable at the time of offer. Conventional indices (e.g., KDPI/KDRI) provide population-level signals but do not deliver individualized, cognitively accessible inf...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
c631d82f-90fa-5766-a0b9-e97067bfdc46
DOI
10.20944/preprints202603.0324.v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Personalized Risk‑Prediction Tool for Deceased Donor Kidney Offers: Stakeholder Perspectives from a Qualitative StudyDOI 10.20944/preprints202603.0324.v1
Personalized Risk Prediction Tool for Deceased Donor Kidney Offers: Stakeholder Perspectives from a Qualitative StudySemantic proximity
Nephrology Providers’ Perspective and Use of Mortality Prognostic Tools in Dialysis PatientsSemantic proximity
Three-Dimensionally-Printed Kidney Models for Living Donor and Recipient Transplant Education: A Pilot StudySemantic proximity
Granular Data Selection and Altruistic Benefit Framing Increase EHR-Based Research Data Donation: A Mixed- Methods StudySemantic proximity
From Assessment to Action: A Clinical Decision Support Application Translating SIPAT into Multidomain Psychosocial Risk Profiles in Lung Transplant CandidatesSemantic proximity
Genomics in nephrology: identifying informatics opportunities to improve diagnosis of genetic kidney disorders using a human-centered design approachSemantic proximity
Considerations in the Reliability and Fairness Audits of Predictive Models for Advance Care PlanningSemantic proximity
Personalized Prediction Model Generated with Machine Learning for Kidney Function One Year After Living Kidney DonationSemantic proximity
Risks and benefits of ChatGPT in informing patients and families with rare kidney diseases- an explorative assessment by the European Rare Kidney Disease Reference Network (ERKNet)Semantic proximity
Explainable Clinician-Supervised Artificial Intelligence as an Implementation Framework for Cardiovascular–Kidney–Metabolic Population Health: Synthetic Data Validation of the CHAPERONE-CKM FrameworkSemantic proximity
Prediction of donor heart acceptance for transplant and its clinical implications – results from the Donor Heart StudySemantic proximity
Integrating stakeholder perspectives in modeling routine data for therapeutic decision-makingSemantic proximity
Select a neighboring publication to make it the new centre.